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Forecasting New Zealand Corporate Failures 2001–10: Opportunity Lost?

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  • Karen Peursem
  • Yi Chiann Chan

Abstract

type="main"> On-going business success is not a ‘given’ and business failure is reasonably common. Such failures include 36 listed companies in New Zealand (2001–10), which, in liquidating, incurred losses for many small stakeholders. The purpose of this paper is to determine whether these failures could have been anticipated from public information available at the time. Of the 36 failing companies, 25 are matched to 25 non-failing New Zealand and Australian companies. Financial and audit report data are obtained for the three years prior to failure, yielding 150 sets of data. Ten ratios, three failure-prediction models and three nominal indicators, which were all available at the time, are applied to the data. News reports and media are reviewed. Findings reveal that while no specific forecasts of failure are publicised through mainstream New Zealand media, significant differences between failing and non-failing firms do exist: 75% of the tested indicators show or approach significance in one or more of the three years prior to failure. Indications increase where data for all three years is combined. Conclusions are that problems could have been signalled and published, providing stakeholders bases for enquiry. Implications are as to a failure of public accountability in this respect, how practice and policy could address this problem, and suggestions for further research.

Suggested Citation

  • Karen Peursem & Yi Chiann Chan, 2014. "Forecasting New Zealand Corporate Failures 2001–10: Opportunity Lost?," Australian Accounting Review, CPA Australia, vol. 24(3), pages 276-288, September.
  • Handle: RePEc:bla:ausact:v:24:y:2014:i:3:p:276-288
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    File URL: http://hdl.handle.net/10.1111/auar.12029
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    1. Yang Xu & Alicia Liwei Jiang & Neil Fargher & Elizabeth Carson, 2011. "Audit Reports in Australia during the Global Financial Crisis," Australian Accounting Review, CPA Australia, vol. 21(1), pages 22-31, March.
    2. Altman, Edward I. & Haldeman, Robert G. & Narayanan, P., 1977. "ZETATM analysis A new model to identify bankruptcy risk of corporations," Journal of Banking & Finance, Elsevier, vol. 1(1), pages 29-54, June.
    3. George E. Nogler, 2008. "Going concern modifications, CPA firm size, and the Enron effect," Managerial Auditing Journal, Emerald Group Publishing, vol. 23(1), pages 51-67, January.
    4. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    5. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    6. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    7. Zmijewski, Me, 1984. "Methodological Issues Related To The Estimation Of Financial Distress Prediction Models," Journal of Accounting Research, Wiley Blackwell, vol. 22, pages 59-82.
    8. Mutchler, JF & Hopwood, W & McKeown, JM, 1997. "The influence of contrary information and mitigating factors on audit opinion decisions on bankrupt companies," Journal of Accounting Research, Wiley Blackwell, vol. 35(2), pages 295-310.
    9. Collins, Robert A. & Green, Richard D., 1982. "Statistical methods for bankruptcy forecasting," Journal of Economics and Business, Elsevier, vol. 34(4), pages 349-354.
    10. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure - Reply," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 123-127.
    11. Andreas Charitou & Evi Neophytou & Chris Charalambous, 2004. "Predicting corporate failure: empirical evidence for the UK," European Accounting Review, Taylor & Francis Journals, vol. 13(3), pages 465-497.
    12. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
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    2. Muñoz-Izquierdo, Nora & Segovia-Vargas, María Jesús & Camacho-Miñano, María-del-Mar & Pascual-Ezama, David, 2019. "Explaining the causes of business failure using audit report disclosures," Journal of Business Research, Elsevier, vol. 98(C), pages 403-414.

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